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Modeling and Parameter Estimation of Robot Manipulators Using Extended Flexible Joint Models
KTH, School of Engineering Sciences (SCI), Solid Mechanics (Dept.).
2014 (English)In: Journal of Dynamic Systems Measurement, and Control, ISSN 0022-0434, Vol. 136, no 3, 031005- p.Article in journal (Refereed) Published
Abstract [en]

This paper considers the problem of dynamic modeling and identification of robot manipulators with respect to their elasticities. The so-called flexible joint model, modeling only the torsional gearbox elasticity, is shown to be insufficient for modeling a modern industrial manipulator accurately. Another lumped parameter model, called the extended flexible joint model, is therefore used to improve the model accuracy. In this model, nonactuated joints are added to model the elasticity of the links and bearings. The unknown elasticity parameters are estimated using a frequency-domain gray-box identification method. The conclusion is that the obtained model describes the movements of the motors and the tool mounted on the robot with significantly higher accuracy than the flexible joint model. Similar elasticity model parameters are obtained when using two different output variables for the identification, the motor position and the tool acceleration.

Place, publisher, year, edition, pages
2014. Vol. 136, no 3, 031005- p.
Keyword [en]
Industrial Perspective, Identification, Friction, Systems, Simulation
National Category
Engineering and Technology
URN: urn:nbn:se:kth:diva-144924DOI: 10.1115/1.4026300ISI: 000333588100005ScopusID: 2-s2.0-84894200705OAI: diva2:715543

QC 20140505

Available from: 2014-05-05 Created: 2014-05-05 Last updated: 2014-05-05Bibliographically approved

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Hanssen, Sven
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